Review of Industry 4.0 from the perspective of automation and supervision systems: Definitions, architectures and recent trends

FJ Folgado, D Calderón, I González, AJ Calderón - Electronics, 2024 - mdpi.com
Industry 4.0 is a new paradigm that is transforming the industrial scenario. It has generated a
large amount of scientific studies, commercial equipment and, above all, high expectations …

Tides of blockchain in IoT cybersecurity

LAC Ahakonye, CI Nwakanma, DS Kim - Sensors, 2024 - mdpi.com
This paper surveys the implementation of blockchain technology in cybersecurity in Internet
of Things (IoT) networks, presenting a comprehensive framework that integrates blockchain …

A feature selection based on genetic algorithm for intrusion detection of industrial control systems

Y Fang, Y Yao, X Lin, J Wang, H Zhai - Computers & Security, 2024 - Elsevier
With the popularity of Internet technology, industrial control systems (ICS) have started to
access the Internet, which significantly facilitates engineers to manage ICS remotely but also …

DDoS attacks in Industrial IoT: A survey

S Chaudhary, PK Mishra - Computer Networks, 2023 - Elsevier
As the IoT expands its influence, its effect is becoming macroscopic and pervasive. One of
the most discernible effects is in the industries where it is known as Industrial IoT (IIoT). IIoT …

Network intrusion detection: An optimized deep learning approach using big data analytics

DS Mary, LJS Dhas, AR Deepa, MA Chaurasia… - Expert Systems with …, 2024 - Elsevier
Managing enormous amounts of data, such as big data, and detecting network traffic
intrusions are inefficiently handled by current computing technologies. Traditional analytical …

[HTML][HTML] Anomaly classification in industrial Internet of things: A review

M Rodríguez, DP Tobón, D Múnera - Intelligent Systems with Applications, 2023 - Elsevier
The fourth industrial revolution (Industry 4.0) has the potential to provide real-time, secure,
and autonomous manufacturing environments. The Industrial Internet of Things (IIoT) is a …

Design of efficient based artificial intelligence approaches for sustainable of cyber security in smart industrial control system

A Alzahrani, THH Aldhyani - Sustainability, 2023 - mdpi.com
Online food security and industrial environments and sustainability-related industries are
highly confidential and in urgent need for network traffic analysis to attain proper security …

[HTML][HTML] Low computational cost convolutional neural network for smart grid frequency stability prediction

LAC Ahakonye, CI Nwakanma, JM Lee, DS Kim - Internet of Things, 2024 - Elsevier
In the smart grid, it is critical to collect dynamic and time-dependent information on energy
demand and consumption and compare it to current supply conditions. The decentral smart …

The power of deep learning in simplifying feature selection for hepatocellular carcinoma: a review

G Mostafa, H Mahmoud, T Abd El-Hafeez… - BMC Medical Informatics …, 2024 - Springer
Abstract Background Hepatocellular Carcinoma (HCC) is a highly aggressive, prevalent,
and deadly type of liver cancer. With the advent of deep learning techniques, significant …

[HTML][HTML] An integrated data mining algorithms and meta-heuristic technique to predict the readmission risk of diabetic patients

M Zeinalnezhad, S Shishehchi - Healthcare Analytics, 2024 - Elsevier
Reducing hospital readmission rate is a significant challenge in the healthcare industry for
managers and policymakers seeking to improve healthcare and lower costs. This study …